Cardioprotection Effects of Sevoflurane by Regulating the Pathway of Neuroactive Ligand-Receptor Interaction in Patients Undergoing Coronary Artery Bypass Graft SurgeryReportar como inadecuado




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Computational and Mathematical Methods in Medicine - Volume 2017 2017, Article ID 3618213, 7 pages - https:-doi.org-10.1155-2017-3618213

Research Article

Department of Anesthesiology, Southwest Hospital, Chongqing 400038, China

Department of Anesthesiology, The People’s Hospital of Bishan County, Chongqing 402760, China

Correspondence should be addressed to Xiaojun Li

Received 20 October 2016; Revised 10 February 2017; Accepted 19 February 2017; Published 28 February 2017

Academic Editor: Irini Doytchinova

Copyright © 2017 Jinquan Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study was designed to identify attractor modules and further reveal the potential biological processes involving in sevoflurane-induced anesthesia in patients treated with coronary artery bypass graft CABG surgery. Microarray profile data ID: E-GEOD-4386 on atrial samples obtained from patients receiving anesthetic gas sevoflurane prior to and following CABG procedure were downloaded from EMBL-EBI database for further analysis. Protein-protein interaction PPI networks of baseline and sevoflurane groups were inferred and reweighted according to Spearman correlation coefficient SCC, followed by systematic modules inference using clique-merging approach. Subsequently, attract method was utilized to explore attractor modules. Finally, pathway enrichment analyses for genes in the attractor modules were implemented to illuminate the biological processes in sevoflurane group. Using clique-merging approach, 27 and 36 modules were obtained from the PPI networks of baseline and sevoflurane-treated samples, respectively. By comparing with the baseline condition, 5 module pairs with the same gene composition were identified. Subsequently, 1 out of 5 modules was identified as an attractor based on attract method. Additionally, pathway analysis indicated that genes in the attractor module were associated with neuroactive ligand-receptor interaction. Accordingly, sevoflurane might exert important functions in cardioprotection in patients following CABG, partially through regulating the pathway of neuroactive ligand-receptor interaction.





Autor: Jinquan Wang, Jian Cheng, Chao Zhang, and Xiaojun Li

Fuente: https://www.hindawi.com/



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